Adaptive co-training SVM for sentiment classification on tweets
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Xueqi Cheng | Huawei Shen | Shenghua Liu | Fuxin Li | Fangtao Li | Xueqi Cheng | Shenghua Liu | Huawei Shen | Fangtao Li | Fuxin Li
[1] Guodong Zhou,et al. Semi-Supervised Learning for Imbalanced Sentiment Classification , 2011, IJCAI.
[2] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.
[3] Craig MacDonald,et al. Overview of the TREC-2012 Microblog Track , 2012, Text Retrieval Conference.
[4] Peter D. Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.
[5] Yoram Singer,et al. Unsupervised Models for Named Entity Classification , 1999, EMNLP.
[6] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[7] Bing Liu,et al. Mining Opinion Features in Customer Reviews , 2004, AAAI.
[8] Hao Yu,et al. Structure-Aware Review Mining and Summarization , 2010, COLING.
[9] Minyi Guo,et al. Emoticon Smoothed Language Models for Twitter Sentiment Analysis , 2012, AAAI.
[10] Qiang Yang,et al. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons , 2012, ACL.
[11] Qiang Yang,et al. Cross-domain sentiment classification via spectral feature alignment , 2010, WWW '10.
[12] Ivan Titov,et al. A Joint Model of Text and Aspect Ratings for Sentiment Summarization , 2008, ACL.
[13] Le T. Nguyen,et al. Predicting collective sentiment dynamics from time-series social media , 2012, WISDOM '12.
[14] Harith Alani,et al. Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification , 2011, ACL.
[15] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[16] Xiaojun Wan,et al. Co-Training for Cross-Lingual Sentiment Classification , 2009, ACL.
[17] David A. Shamma,et al. Characterizing debate performance via aggregated twitter sentiment , 2010, CHI.
[18] Mike Thelwall,et al. Sentiment in Twitter events , 2011, J. Assoc. Inf. Sci. Technol..
[19] Iadh Ounis,et al. Overview of the TREC 2011 Microblog Track , 2011, TREC.
[20] Sandra Kübler,et al. Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains , 2011, CoNLL.
[21] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[22] O. Mangasarian,et al. Semi-superyised support vector machines for unlabeled data classification , 2001 .
[23] Chu-Ren Huang,et al. Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification , 2010, ACL.
[24] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[25] Isabell M. Welpe,et al. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment , 2010, ICWSM.
[26] Haizhou Li,et al. A cross-domain adaptation method for sentiment classification using probabilistic latent analysis , 2011, CIKM '11.
[27] Johanna D. Moore,et al. Twitter Sentiment Analysis: The Good the Bad and the OMG! , 2011, ICWSM.
[28] Stan Matwin,et al. Email classification with co-training , 2011, CASCON.
[29] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[30] Berkant Barla Cambazoglu,et al. A large-scale sentiment analysis for Yahoo! answers , 2012, WSDM '12.
[31] Kamal Nigam,et al. Understanding the Behavior of Co-training , 2000, KDD 2000.
[32] Padmini Srinivasan,et al. Crossing Media Streams with Sentiment: Domain Adaptation in Blogs, Reviews and Twitter , 2012, ICWSM.
[33] Rayid Ghani,et al. Analyzing the effectiveness and applicability of co-training , 2000, CIKM '00.
[34] Pramila M. Chawan,et al. Sentiment Analysis and Influence Tracking using Twitter , 2012 .
[35] Arjun Mukherjee,et al. Aspect Extraction through Semi-Supervised Modeling , 2012, ACL.
[36] Qiang Yang,et al. Incorporating Reviewer and Product Information for Review Rating Prediction , 2011, IJCAI.
[37] Koby Crammer,et al. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines , 2002, J. Mach. Learn. Res..
[38] Steven Skiena,et al. Large-Scale Sentiment Analysis for News and Blogs (system demonstration) , 2007, ICWSM.